a process whose average over time converges to the true average

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The site for the 2017 North American School of Information Theory is now live and registration will begin next week. The IT Schools have been going strong for the last few years and are a great resource for students, especially new students, to get some exposure to information theory research beyond their own work and what they learned in class. Most schools do not have several people working on information theory. For students at such institutions the school provides a great way to meet other new researchers in the field.

Jan Hein van Dierendonck, a science writer and illustrator/cartoonist from Leiden, recently contacted the IT Society about an oil painting he made of Claude Shannon. He has kindly given permission to post it here. It will be used by some of the Shannon Centenary events this year.

Claude Shannon, by Jan Hein van Dierendonck

Claude Elwood Shannon (April 30, 1916 – February 24, 2001)

In the Forties a juggling Claude Elwood Shannon rides a unicycle down the endless hallways of Bell Labs, a telecommunications research laboratory south of New York. Perhaps this balancing act puts his brilliant mind in the right state to look at complex problems in an original way and to devise the formulas that initiate the Digital Era.

As a 21-year-old master’s degree student at the Massachusetts Institute of Technology, Shannon wrote his thesis demonstrating that electrical applications of Boolean algebra could construct and resolve any logical, numerical relationship. In 1948 this mathematician, electronic engineer, and cryptographer published a landmark paper that laid the foundation for information theory. From that moment on, information is something computable. Whether you are dealing with images, text or sound: convert everything into zeros and ones and remove all redundant information and noise. This has changed our world completely. Without Shannon’s Information Theory, your phone simply wasn’t smart.

Averse to fame, the professor in electronics preferred tinkering with his amazing magnetic mouse in a maze with memory and his mechanic juggling robots. He also refined his Juggling Theorem: the number of hands (H) multiplied by the total time a ball spends in the air (F) and is held in a hand (D) is in balance with the number of balls (N) multiplied by the total time a hand is empty (V) and holding a ball (D).